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The purpose of the study is to identify cybersecurity threats that hinder the adoption of digital banking and provide sustainable strategies to combat cybersecurity risks in the banking industry.

Systematic literature review guidelines were used to conduct a quantitative synthesis of empirical evidence regarding the impact of cybersecurity threats and risks on the adoption of digital banking.

A total of 84 studies were initially examined, and after applying the selection and eligibility criteria for this systematic review, 58 studies were included. These selected articles consistently identified identity theft, malware attacks, phishing and vishing as significant cybersecurity threats that hinder the adoption of digital banking.

With the country’s banking sector being new in this area, this study contributes to the scant literature on cyber security, which is mostly in need due to the myriad breaches that the industry has already suffered thus far.

This study aims to measure the occurrence of gentrification and to relate gentrification with housing values.

The authors have used Getis-Ord statistics to identify and quantify gentrification in different residential areas in a case study of Stockholm, Sweden. Gentrification will be measured in two dimensions, namely, income and population. In step two, this measure is included in a traditional hedonic pricing model where the intention is to explain future housing prices.

The results indicate that the parameter estimate is statistically significant, suggesting that gentrification contributes to higher housing values in gentrified areas and near gentrified neighbourhoods. This latter possible spillover effect of house prices due to gentrification by income and population was similar in both the hedonic price and treatment effect models. According to the hedonic price model, proximity to the gentrified area increases housing value by around 6%–8%. The spillover effect on price distribution seems to be consistent and stable in gentrified areas.

A few studies estimate the effect of gentrification on property values. Those studies focussed on analysing the impacts of gentrification in higher rents and increasing house prices within the gentrifying areas, not gentrification on property prices in neighbouring areas. Hence, one of the paper’s contributions is to bridge the gap in previous studies by measuring gentrification’s impact on neighbouring housing prices.

The purpose of this study is to analyse the trends regarding housing segregation over the past 10–20 years and determine whether housing segregation has a spillover effect on neighbouring housing areas. Namely, the authors set out to determine whether proximity to a specific type of segregated housing market has a negative impact on nearby housing markets while proximity to another type of segregated market has a positive impact.

For the purposes of this paper, the authors must combine information on segregation within a city with information on property values in the city. The authors have, therefore, used data on the income of the population and data on housing values taken from housing transactions. The case study used is the city of Stockholm, the capital of Sweden. The empirical analysis will be the estimation of the traditional hedonic pricing model. It will be estimated for the condominium market.

The results indicate that segregation, when measured as income sorting, has increased over time in some of the housing markets. Its effects on housing values in neighbouring housing areas are significant and statistically significant.

A better understanding of the different potential spillover effects on housing prices in relation to the spatial distribution of various income groups would be beneficial in determining appropriate property assessment levels. In other words, awareness of this spillover effect could improve existing property assessment methods and provide local governments with extra information to make an informed decision on policies and services needed in different neighbourhoods.

On housing prices emanating from proximity to segregated areas with high income differs from segregated areas with low income, policies that address socio-economic costs and benefits, as well as property assessment levels, should reflect this pronounced difference. On the property level, positive spillover on housing prices near high-income segregated areas will cause an increase in the number of higher income groups and exacerbate segregation based on income. Contrarily, negative spillover on housing prices near low-income areas might discourage high-income households from moving to a location near low-income segregated areas. Local government should be aware of these spillover effects on housing prices to ensure that policies intended to reduce socioeconomic segregation, such as residential and income segregation, produce desirable results.

Furthermore, a good estimation of these spillover effects on housing prices would allow local governments to carry out a cost–benefit analysis for policies intended to combat segregation and invest in deprived communities.

The main contribution of this paper is to go beyond the traditional studies of segregation that mainly emphasise residential segregation based on income levels, i.e. low-income or high-income households. The authors have analysed the spillover effect of proximity to hot spots (high income) and cold spots (low income) on the housing values of nearby condominiums or single-family homes within segregated areas in Stockholm Municipality in 2013.

This paper aims to examine the existence of the ripple effect from Amsterdam to the housing markets of other regions in The Netherlands. It identifies which regional housing markets are influenced by house price movements in Amsterdam.

The paper considers the ripple effect as a lead-lag effect and a long-run convergence between the Amsterdam and regional house prices. Using the real house prices for second-hand owner-occupied dwellings from 1995q1 to 2016q2, the paper adopts the Toda–Yamamoto Granger Causality approach to study the lead-lag effects. It uses the autoregressive distributed lags (ARDL)-Bounds cointegration techniques to examine the long-run convergence between the regional and the Amsterdam house prices. The paper controls for house price fundamentals to eliminate possible confounding effects of common shocks.

The cumulative evidence suggests that Amsterdam house prices have influence on (or ripple to) all the Dutch regions, except one. In particular, the Granger Causality test concludes that a lead-lag effect of house prices exists from Amsterdam to all the regions, apart from Zeeland. The cointegration test shows evidence of a long-convergence between Amsterdam house prices and six regions: Friesland, Groningen, Limburg, Overijssel, Utrecht and Zuid-Holland.

The paper adopts an econometric approach to examine the Amsterdam ripple effect. More sophisticated economic models that consider the asymmetric properties of house prices and the patterns of interregional socio-economic activities into the modelling approach are recommended for further investigation.

This paper focuses on The Netherlands for which the ripple effect has not yet been researched to the authors’ knowledge. Given the substantial wealth effects associated with house price changes that may shape economic activity through consumption, evidence for ripples may be helpful to policy makers for uncovering trends that have implications for the entire economy. Moreover, the analysis controls for common house price fundamentals which most previous papers ignored.

The purpose of this paper is to present a proposal for structuring the use of problem-based learning (PBL) as an active teaching strategy and assess PBL’s implications for student learning in the undergraduate management degree program of a federal university in Northeastern Brazil. PBL can turn students into active subjects in their own learning and promote the development of decision-making abilities through the identification and analysis of real problems.

The study follows the assumptions of qualitative research and uses the action research approach. The data were collected through reflective reports (texts freely written by students describing their experiences in a course) and through interviews. The collected material formed the basis for analysis and discussion of the results using content analysis.

The results indicate that the PBL teaching strategy has positive implications for student learning in that it promotes the integration of theory and practice, which enhances the motivation to learn. The students perceived the practical aspect, teamwork and presence of an entrepreneur/manager in the PBL classes as factors facilitating learning. By contrast, teamwork and the time involved were seen as factors limiting learning.

The use of PBL demonstrates its potential for learning through the integration of students’ cognitive, behavioral and social dimensions, fostering closer integration with the context of professional activity. The presence of entrepreneurs/managers who present real problems to be analyzed by the students in the classroom can contribute significantly to the promotion of learning and reflection by undergraduate management students.

The results of this study reveals its originality and value to management education in Brazil because it defines a framework for the implementation of PBL as an active learning strategy in a management program, it indicates the potential of PBL for the development of students’ competencies, it increases the potential for integrating theory with professional practice and it can aid the process of training teachers as they assess the implications of PBL for student learning.

By observing facts of the “reversal of agglomeration” of Chinese enterprises during the period of rapid Internet development and using a new economic geography model combined with the data of the real estate sector, this paper deduces the influence of the “reshaping mechanisms” of the Internet on China's economic geography based on the “gravitation mechanism” of the Internet that affects the enterprises and the “amplification mechanism” of the Internet that amplifies the dispersion force of house prices.

In the empirical aspect, the dynamic spatial panel data model is used to test the micromechanisms of the impact of the Internet on enterprises' choice of location and the instrumental variable method is used to verify the macro effects of the Internet in reshaping economic geography.

It is found that in the era of the network economy, the Internet has become a source of regional competitive advantage and is extremely attractive to enterprises. The rapidly rising house price has greatly increased the congestion cost and has become the force behind the dispersion of enterprises. China's infrastructure miracle has closed the access gap which gives full play to network externalities and promotes the movement of enterprises from areas with high house prices to areas with low house prices.

The Internet is amplifying the dispersion force of congestion costs manifested as house prices and is reshaping China's economic geography. This paper further proposes policy suggestions such as taking the Internet economy as the new momentum of China's economic development and implementing the strategy of regional coordinated development.

The purpose of this study is to explore and gain a greater understanding of women's entrepreneurship during the COVID-19 pandemic. How have women entrepreneurs changed their entrepreneurship during the COVID-19 pandemic? What dimensions are highlighted by women entrepreneurs for a sustainable entrepreneurship during the COVID-19 pandemic?

This study was conducted with a qualitative design where multiple case studies were conducted with 30 women. Data were collected through qualitative interviews with the women entrepreneurs in Asia and Europe.

The results from this study show that women entrepreneurs have mainly focused on financial resources. Economic sustainability is required for companies to survive a crisis in the form of a pandemic. This study has shown what lessons women have from the pandemic where the four D’s model constitute a first step to a theoretical contribution. For women, it is about dollars (e g economic sustainability), demand from customers, the role that digitization has played and distribution both to customers and from suppliers.

Practical implications from this study are that women entrepreneurs need to be prepared for economic crises to a larger extent. The economic sustainability plays a key role in sustainable businesses for women entrepreneurs in any kind of context.

Women's entrepreneurship looks different, and more knowledge is needed about their conditions. It contributes to increased social sustainability.

This study contributes to an increased understanding of how women's entrepreneurship has been affected during a global crisis.

Due to the Brazilian large territory, the network of ports was structured in order to to meet the demands at national and global scales. In southern Brazil, more specifically in the State of Santa Catarina, the ports are an inseparable component of the set of characteristics which allowed the state to become, over the 20th century, one of the most industrialized regions in Brazil. The increase in industrial exports of Santa Catarina, mainly after the 1980s, resulted in a more diversified exporting agenda, which benefited from the existing transport infrastructure: roads, airports, rail ways, and ports. This research aimed at identifying and analyzing the main problems regarding ports infrastructure of the state, which affects the large exporting industries. The research methods used were: a) bibliographic and documents review; b) questionnaire survey and semi-structured interviews with a diversified sample including 40 of the largest exporting companies in Santa Catarina; and c) processing and analysis of the data and information collected. The use of questionnaire survey and semi-structured interviews aimed at: eliciting and characterizing the main problems facing the ports infrastructure in the state and identifying the competitive advantages and disadvantages compared to worldwide market competitors.

The purpose of this paper is to explore the applicability of technology acceptance model (TAM) to explain the widespread acceptance and usage of social media (SM) for travel purposes by Indian outbound leisure travellers during their travel cycle.

The study has adopted a qualitative approach involving in-depth interviews of 30 respondents, who had taken at least one international vacation in the last 12 months. Content analysis was used to arrive at the conclusion.

Findings of the study are used to develop a conceptual model which upholds the validity of the TAM with perceived usefulness (PU) and perceived ease of use (PEU) as determinants of SM usage. The model has been extended to include perceived trust (PT) and social capital (SC) as important constructs to explain the travellers’ use of SM. Disposition readiness (DR) of the user towards SM was found to have an effect on all the four constructs.

Theoretically, this study suggests a modification to the existing TAM, which shows a unidirectional effect of PU and PEU on attitude. This study suggests that the effect would be bi-directional where the attitude (DR) of the traveller towards SM usage will affect PU and PEU. Furthermore, this study extends the TAM to include PT and SC as important constructs to explain SM usage by travellers. This study provides valuable insights into the hospitality and tourism sector which might help in further segmentation of travellers leading to more customised service offerings.

This paper aims to investigate the influence of trust on adopting and implementing blockchain technology in higher education institutions (HEIs) in Brazil.

This study uses an exploratory qualitative approach to understand the construct of trust in the context of the educational sector. Data were collected through semistructured questionnaires and online interviews.

The research identified that, for most potential blockchain users, trust positively influences the HEIs, because benefits such as secure data sharing and transaction transparency could optimize the daily routine and avoid fraud in academic documents, providing a cooperative and reliable working environment. In addition, the results suggest that trust is needed to overcome challenges related to issues such as costs and privacy.

This study contributes to the advances in the emerging literature on blockchain in the educational sector as a system with the potential to generate trust, as well as the literature on the technology acceptance models.

For HEI managers and practitioners, this study highlights the need for a greater understanding of the influence of trust in the relationships between HEIs and other stakeholders.

This work shows that adopting blockchain technologies would allow users to build social relationships of trust in a cooperative work environment and develop trusted behavior by sharing data securely and transparently.

To the best of the authors’ knowledge, this is one of the first studies on the adoption and implementation of blockchain in the education sector in Brazil.